New variants, challenges and pitfalls in DMD genotyping: implications in diagnosis, prognosis and therapy

基因分型 遗传学 医学 统计遗传学 计算生物学 生物 药物遗传学 基因 基因型
作者
Rosário Santos,Ana Gonçalves,Jorge Oliveira,Emília Vieira,José Pedro Vieira,Teresinha Evangelista,T. Moreno,Manuela M. Santos,Isabel Fineza,Elsa Bronze-da-Rocha
出处
期刊:Journal of Human Genetics [Springer Nature]
卷期号:59 (8): 454-464 被引量:38
标识
DOI:10.1038/jhg.2014.54
摘要

Molecular characterization of patients with Duchenne or Becker muscular dystrophies is essential for establishing a differential diagnosis, allowing appropriate clinical follow-up, patient management and genetic counseling. In light of the recent mutation-based therapeutic approaches, DMD gene analysis has gained further relevance. Owing to the size and complexity of the DMD gene and the diversity of mutation types, molecular analysis is not always a straightforward task requiring the combination of several methodologies. Our national genetic diagnostic service genetically characterized 308 dystrophinopathy patients (284 unrelated families), leading to the identification of 175 distinct mutations, including 39 unpublished variants. These studies revealed several potential diagnostic pitfalls (because of technical limitations or related with DMD’s genetic heterogeneity) that may be overlooked even considering the international disease-specific diagnostic guidelines. Comprehensive analysis involved expression studies at the mRNA level, the identification of splicing changes and ultimately providing evidence for apparent exceptions to the reading-frame rule. Besides increasing the mutation detection rate, this detailed molecular characterization is indispensable for the identification of suitable candidates for the new mutation-centered therapies. As patient registries are internationally recognized as essential for clinical trial recruitment, this led us to develop the Portuguese Duchenne and Becker Muscular Dystrophy registry in collaboration with the Translational Research in Europe—Assessment and Treatment of Neuromuscular Diseases network.
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